Overview: This document outlines the tokenomics of the $AVM protocol — a decentralized compute layer enabling AI agents to run code trustlessly across a global network of execution nodes.

Ticker: $AVM

Total supply: 100.000.000

Blockchain: Ethereum

Trading Fee: 4%, then 0% once funding milestones are reached

Liquidity lock: 12 months

Official CA: 0xf5f52266a57E6D7312dA39BD7ab9527B9e975C40

Tokenomics: Economic Architecture of $AVM

The $AVM token drives resource coordination and economic incentives across the protocol. Its distribution and usage are tied directly to the operational and decentralization milestones described in the roadmap.


💰 Token Distribution

Total Supply: 100,000,000 AVM

CategoryAllocationDescription
Initial Liquidity40%Market access
Treasury20%Ecosystem grants, governance operations
Node Incentives15%Compute rewards, staking
Seed & Strategic Sale10%Early backers and high-value-added investors
Marketing & OPEX10%Growth, operations, GTM
R&D5%Research and development initiatives

Multi-Signature Control

  • Treasury: Multi-signature wallet control
  • Marketing & OPEX: Multi-signature wallet control

Vesting Logic

  • Investors: 30% at TGE (Token Generation Event), 70% over 3 months
  • Nodes: Linear rewards over 18 months

Token Utility

The $AVM token serves multiple critical functions in the ecosystem:

  1. Run the Network: Node incentives and compute rewards
  2. Govern the Protocol: DAO governance and parameter management

Decentralized Node Participation

Starting in Phase 3, the protocol fully decentralizes compute provisioning:

  1. Node Deployment
    • Users provision hardware (CPU/GPU) and run the AVM client.
  2. Service Registration
    • Nodes register in the system and adhere to pricing module parameters.
  3. Task Execution
    • AI agents automatically select the best available node from registered providers via intelligent discovery mechanism.
  4. Revenue Distribution
    • Node owners earn $AVM tokens based on their network participation.
    • Distribution is calculated proportionally according to individual node utilization relative to total network usage.